{"id":"W3006419836","doi":"10.1109/tap.2020.2972407","title":"Efficient Procedure to Design Large Finite Array and Its Feeding Network With Examples of ME-Dipole Array and Microstrip Ridge Gap Waveguide Feed","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Directivity; Antenna array; Microstrip; Planar array; Dipole antenna; Optics; Array gain; Bandwidth (computing); Computer science; Radiation pattern; Physics; Acoustics; Antenna (radio); Electronic engineering; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001795288,0.0002113079,0.0002253104,0.00008958213,0.000144555,0.0000498197,0.0000421589,0.000071943,0.000006763413],"category_scores_gemma":[0.00001357525,0.000184644,0.00002452992,0.0002759285,0.00002638563,0.00006106804,0.000001214247,0.0001598399,0.000002364914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001564197,"about_ca_system_score_gemma":0.0000153639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004036304,"about_ca_topic_score_gemma":0.000007243231,"domain_scores_codex":[0.9991273,0.00002344446,0.000232722,0.0002592633,0.0001095375,0.000247731],"domain_scores_gemma":[0.9995961,0.00007093458,0.00003692045,0.00007492296,0.00006334273,0.0001577317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009887412,0.00001870092,0.00002397513,0.0003148479,0.00004582771,0.000001313041,0.001413314,0.3397098,0.6576545,0.00002322285,0.00006289663,0.0006326654],"study_design_scores_gemma":[0.0007268983,0.0003862912,0.0004702435,0.0004174808,0.00006768583,0.00002300936,0.0002643693,0.4842748,0.5127841,0.000007697357,0.0002556001,0.0003218201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2219232,0.0005280419,0.7767394,0.0001674875,0.0000725793,0.0003745078,0.00004404022,0.0001107629,0.00004000224],"genre_scores_gemma":[0.994818,0.000180894,0.004757728,0.0000770562,0.00006249444,0.00002469927,0.000004715116,0.00003810033,0.0000362565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7728949,"threshold_uncertainty_score":0.7529562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202874346027222,"score_gpt":0.2076225663384668,"score_spread":0.1855938228781945,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}